It’s 2025 and most top tech companies are still asking LeetCode style questions in coding interviews. But getting started on LeetCode is harder than ever. With over 3,000 problems, it’s easy to feel overwhelmed and lost.
How do you even start?
Which problems should you solve?
How many problems are enough for coding interviews?
How much time should you spend on each problem?
I will answer these questions and more in this article to make your journey smoother, and lot less less painful.
For context - I’ve solved more than 1,500 LeetCode problems and cleared interviews at multiple big tech companies including Amazon, Google, and Microsoft and in this article I’ll share everything I’ve learned to help you start and navigate LeetCode more effectively.
I’ll share practical tips and resources to help you save time, stay focused and build your problem-solving skills without feeling overwhelmed.
Why do you even need LeetCode?
You might be wondering: why is everyone doing LeetCode questions. Is it really necessary to land a Software Engineering job?
The short answer is: not always.
There are plenty of startups and smaller companies that focus more on your experience with specific tech stacks and the projects you’ve built. They might not even include LeetCode style questions in their interview process.
But if your goal is to work at big tech companies like Amazon, Google, or Microsoft, you would need to practice LeetCode style questions since that’s what they ask in their interviews.
Which programming language to choose?
This is a question I get asked all the time. Many people get stuck at deciding which programming language to use. But here’s the truth: It doesn’t really matter. A programming language is just a tool. Once you understand the approach to solving a problem, you can implement it in any language.
In my experience giving interviews, unless the job specifically requires expertise in a certain language, you’ll be fine using any language you’re comfortable with.
The point is, LeetCode isn’t about syntax. It’s about using the right data structures, algorithms, and your ability to think critically and solve problems.
That said, if you’re new to coding, I recommend starting with Python. It’s beginner-friendly and has a simpler syntax.
If you already know a language—stick with it.
Whether it’s C++, Java, C#, JavaScript, TypeScript or Go, there’s no need to switch.
You don’t need to be an expert in your chosen language, but you should know the basics like:
variables and data types
loops (for and while)
if-else conditions
arrays and strings
functions and classes
and input/output operations
Beyond the basics, spend some time learning the built-in libraries for common data structures and algorithms.
These libraries save time and let you focus on solving the problem rather than reimplementing data structures from scratch.
For example:
Python has lists, dictionaries, and sets.
Java has ArrayList, HashMap, and PriorityQueue.
C++ offers the STL library with vector, map, and set.

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